metadata

license: mit
task_categories:
  - text-classification
language:
  - de
tags:
  - legal
pretty_name: german_court_decisions
size_categories:
  - 10K<n<100K

Dataset Card for german-court-decisions

60k judicial decisions in Germany retrieved on January 1, 2024.

Dataset Description

Language(s) (NLP): German
License: MIT

Copyright notice: Automated retrieval of decisions from federal and state databases in Germany is permitted for non-commercial purposes only. As a result, the use of this dataset is permitted for non-commercial purposes only.

Uses

Prediction of verdicts based on statement of facts.

Direct Use

Classification convicted/dismissed etc.

Out-of-Scope Use

Text generation of verdicts based on statement of facts.

Dataset Structure

features: ['court', 'state', 'date', 'offense', 'decision', 'costs to defendant', 'convicted', 'costs to plaintiff', 'dismissed']

court: court name (string), e.g. 'AG Bad Neuenahr-Ahrweiler'; may be empty if it does not match the search mask
state: federated state (string), e.g. 'Brandenburg', 'Berlin', ... , 'Thüringen'
date: date (string), e.g. '03.04.2013'; may be empty if it does not match the search mask
offense: statement of facts (string; Tatbestand in German)
decision: verdict (string; Tenor in German)

costs to defendant: Boolean (0/1), text phrase detection (see data processing below)
convicted: Boolean (0/1), text phrase detection (see data processing below)
costs to plaintiff: Boolean (0/1), text phrase detection (see data processing below)
dismissed: Boolean (0/1), text phrase detection (see data processing below)

Dataset Creation, Data Collection and Processing

Data creation: Federal governments in Germany
Data collection: github.com/niklaswais/gesp on January 1, 2024
Data processing: github.com/SH-108/german_court_decisions